PromptOwl + ContextNest Docs

Enterprise

  • Enterprise Guides — Comprehensive guides for enterprise administrators and users managing AI prompt workflows on the PromptOwl platform.
  • Adding & Managing Users — This guide explains how enterprise administrators can add, manage, and organize users within your PromptOwl organization.
  • Adding & Organizing Documents — This guide explains how to upload, organize, and manage documents in PromptOwl's Data Room for use with your AI prompts.
  • Analytics Dashboard — This guide explains how to use the Analytics Dashboard in PromptOwl to create custom visualizations, track metrics, and gain insights from your AI…
  • API Keys & Model Config — This guide explains how to configure AI model providers, manage API keys, and customize model settings in PromptOwl.
  • API Publishing and Embedding — This guide explains how to publish prompts as APIs, generate API keys, embed chatbots in external applications, and integrate PromptOwl with your systems.
  • Artifacts & Saved Responses — This guide explains how to create, manage, and use artifacts in PromptOwl's Data Room, including saving AI responses for future reference.
  • Conversations & Chat History — This guide explains how to manage conversations in PromptOwl, including chat history, memory settings, sharing, and feedback.
  • Editing & Maintaining Prompts — This guide explains how to create, edit, version, and maintain prompts in PromptOwl for enterprise users.
  • Enterprise Setup & White-Label — A self-hosted ContextNest Community server can be run as your organization's own governed knowledge surface: your sign-in, your domain, your logo, and…
  • Monitoring & Evaluation — This guide explains how to monitor your agents' performance in PromptOwl, collect and analyze feedback, run systematic evaluations, and use AI to…
  • PromptOwl Troubleshooting Guide — This guide helps you diagnose and resolve common issues in PromptOwl. Find your problem below and follow the recommended solutions.
  • Reviewing & Managing Annotations — This guide explains how to collect user feedback through annotations and use that feedback to improve your AI prompts in PromptOwl.
  • Security & Compliance — This guide explains the security features, data protection measures, and compliance capabilities built into PromptOwl for enterprise users.
  • Sharing & Collaboration — This guide explains how to share prompts, artifacts, and conversations with team members and collaborate effectively in PromptOwl.
  • Tool Integration & MCP — This guide explains how to configure and use AI tools in PromptOwl, including built-in tools and external MCP (Model Context Protocol) servers.
  • Understanding Agents & RAG — This comprehensive guide explains how to build AI agents in PromptOwl, including the different agent types, how knowledge retrieval (RAG) works, version…
  • Variables & Dynamic Content — This guide explains how to use variables in PromptOwl to create dynamic, reusable prompts that adapt to different contexts and inputs.